Network-guided search for genetic heterogeneity between gene pairs.

ABSTRACT:

Motivation

Correlating genetic loci with a disease phenotype is a common approach to improve our understanding of the genetics underlying complex diseases. Standard analyses mostly ignore two aspects, namely genetic heterogeneity and interactions between loci. Genetic heterogeneity, the phenomenon that genetic variants at different loci lead to the same phenotype, promises to increase statistical power by aggregating low-signal variants. Incorporating interactions between loci results in a computational and statistical bottleneck due to the vast amount of candidate interactions.

Results

We propose a novel method SiNIMin that addresses these two aspects by finding pairs of interacting genes that are, upon combination, associated with a phenotype of interest under a model of g

SUBMITTER: Gumpinger AC 

PROVIDER: S-EPMC8034561 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature